1.
Company
LOGO
Artificial Intelligence/Robotics
Jewnivations Pvt Ltd
CEO & Director
Israel India Federation Chambers
Presented by
Dr. Sinora Yuval

2.
What is Artificial Intelligence
2
 Artificial Intelligence means creating computing systems
that have the ability to perform tasks like humans or
even better than humans.
 It is a field of computer science that develops machines
or software having human intelligence such as speech
recognition, decision making, and translation abilities.
 Think of Siri and Alexa, the Artificial Intelligence systems
we utilize on a daily basis.

3.
Why Artificial Intelligence
 AI automates various repetitive tasks and learning. This technology
has the ability to perform computerized, high-volume, and frequent
tasks without human guidance.
 AI imparts intelligence to various products. For instance, new
smartphones that come with Google Assistant.
 AI generates a progressive algorithm that learns over time. For
example, if AI recommendations are being used in an e-commerce
website, it means that this algorithm has the ability to predict what
to recommend to users the next time.
 Artificial intelligence tutorial offers an understanding of deep neural
networks. These networks have the ability to learn from the legacy
data and predict patterns.
 AI provides high-level accuracy which was impossible even a
decade ago. Think about it, how does your smartphone recognize
your face?
5

4.
Domains
Robotics
 Robotics is a branch of artificial intelligence that focuses
on creating artificial agents.
 These robots work like humans and execute basic tasks
such as picking, serving, moving, destroying, etc.
 For example, many restaurants now have robots to
serve food quickly to the relevant tables.
7

5.
….contd
Neural Networks
 Neural networks are really important in artificial
intelligence. This domain forms algorithms to detect
patterns and trends.
 The name is based on neurons of the human brain as
the structure of the neural networks resembles the
human brain.
 These systems learn with examples just as we learn
from our mistakes or experiences.

6.
…contd
Fuzzy Logic Systems
 Instead of explicitly stating true or false, a fuzzy
logic system tells the degree of truth.
 These systems even have the capability to
process noisy, imprecise, or distorted inputs

7.
…contd
Expert Systems
 Expert systems judge human decision-making
capabilities.
 It is a machine that judges how an organization or a
human being behaves or reacts according to their
experience and knowledge in a given field.

8.
…contd
Natural Language Processing
 Natural language processing is an essential field
of artificial intelligence.
 It helps in various tasks such as translation,
sentiment analysis, named entity recognition,
topic segmentation, and speech recognition.

9.
Applications of AI
Machine Translation
 Machine translation is a field of artificial intelligence and
computational linguistics that allow translation from one
language to another.
 These systems additionally assist in estimating
turnaround time, reviewing linguistics, analyzing files,
managing language resource, etc.

10.
…contd
Speech Recognition
 Similar to machine translation, speech
recognition is a field of artificial intelligence that
recognizes the voice and converts it to text in a
computer system.
 Many effective speech recognition methods
utilize long short-term memory system by deep
learning

11.
…contd
 Chatbots
 Chatbots are definitely one of the most useful and
valuable inventions of artificial intelligence. These are
messaging bots that respond to users and solve their
queries.
 These bots have natural language processing
capabilities that help them to analyze the question raised
by the user and answer it appropriately.
 Some bots are intelligently programmed to learn from
past experiences and hand over the conversation to a
human representative in critical situations

12.
…contd
 Facial Recognition
 It is an ability given to the machine to recognize the
facial pattern of a human. These machines compare the
facial features of the human to the ones given in the
database.
 This artificial intelligence system is also referred to as
biometric artificial intelligence as it analyzes the unique
patterns of the face of an individual based on facial
shape and texture.

13.
..contd
 Virtual Assistants
 Virtual assistants are often used synonymously to
chatbots but they are not.
 Most of the virtual assistants now have the ability to
interpret human voice and respond in a synthesized
voice. For instance, Alexa.
 It is also the basic function of virtual assistants to
interpret voice commands and execute them
accordingly.

14.
News Article

15.
News Article

16.
Marketing Insights
 Marketers can write algorithms:
 Website visited
 Emails opened
 No.of downloads
 No.of clicks
Output: Consumer score, accounts they follow, posts they
like, ads they engage in.

17.
Marketing Insights
 Easier to predict customer churn
 Churn rate: Customer ending, relation with
business(subscribed)
 For a company churn rate should be low and new
customer should be high.
 ML can predict based o certain behaviours

18.
Marketing Insights
 Prioritize and targeting ,customer personalization
 ML helping marketers target their ads more effectively
 AI can help sure right ads is to your target audience.
 ML can help personalise the customer experience on
your platform
 Algorithm can predict which type of content would be
most popular with each unique visitor. You and I can
both visit the website and see different content.

19.
Advantages of AI
Faster data analysis
 With artificial intelligence, marketers can analyze
complex data sets faster than a human.
 But this increased speed doesn’t mean greater efficiency
only. Or the ability to gather and act on insights faster.
 It also suggests that organizations could reduce the time
associated with processing information manually. As a
result, they could launch more effective campaigns faster
and deliver higher ROI at a lower cost.

20.
Advantages of AI
More accurate insights
 Using AI opens up the possibility to conduct a
more in-depth analysis of the data. A machine-
learning algorithm could break down complex
data sets, correlate them with other information
and deliver deeper insights.
 For a marketer, the above means finally having
the ability to utilize more insights when planning
campaigns. And also, being able to act much
faster on those findings.

21.
Advantages
Greater Efficiency
 For them to work, today’s marketing campaigns must be
100% relevant to the target audience. Unfortunately,
many marketers lack data and insights to launch an
initiative capable of engaging their intended audience.
 With AI, they can acquire all the insight they need and
increase the efficiency of their efforts.

22.
Disadvantages of AI
 In spite of many attempts, AI is still incapable of being
creative. Machine learning algorithms can’t act on the
data in the same manner as a human would.
 And what goes with it, their ability to create something
based on those insights remains severely limited.
 That’s just one reason why AI-created content lacks the
magic touch making a blog post, article or even a
Facebook Ad engaging.

23.
General Block Diagram

24.
Thank You !!